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Remote Cloud Infra & DevOps Engineer; AWS​/GCP​/Azure

Remote / Online - Candidates ideally in
California, USA
Listing for: Salón Večná kráska
Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

Cloud Infrastructure & Dev Ops Engineer job at Alldus International Consulting Ltd. California.

Role:
Cloud Infrastructure & Dev Ops Engineer

Location:

Remote
Length of contract: 6 months

Alldus International is looking to speak with aCloud Infrastructure & Dev Ops Engineer with experience working with the Electric clients. Experience with Water, Wastewater and Gas isa plus.

Responsibilities

  • As a Cloud Infrastructure & Dev Ops Engineer, you will be responsible for the architecture, automation, and operational excellence of our cloud infrastructure.

  • Working closely with Engineering, Product, and Customer Delivery teams, you will ensure our systems are robust, cost-efficient, and scalable.

  • Design and implement CI/CD pipelines, managing cloud resources, optimizing performance, and enforcing security best practices.

Skillset

  • 5+ years of experience in cloud infrastructure and Dev Ops roles, with a focus on AWS, GCP, or Azure.

  • Proven experience in designing and managing CI/CD pipelines using tools like Jenkins, Git Hub Actions, Git Lab CI/CD, or CircleCI.

  • Deep understanding of containerization and orchestration technologies such as Kubernetes, Docker and Red Hat Openshift.

  • Experience with cloud security, identity and access management (IAM), and compliance best practices.

  • Proficiency in scripting languages such as Python, Bash, or Go for automation tasks.

  • Hands-on experience with monitoring and logging solutions like Splunk, Prometheus, Grafana, ELK Stack, or Datadog.

  • Strong understanding of networking, load balancing, and traffic routing in cloud environments.

  • Ability to balance trade-offs between cost, scalability, and performance in cloud-based architectures.

  • Experience in working with IBM Maximo Application Suite (MAS) and integrating with cloud environments.

  • Knowledge of AI/ML workloads and experience deploying AI-powered solutions in cloud infrastructure.

51280

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